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Publications

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3393 Total Publications

Does serum uric acid act as a modulator of cerebrospinal fluid Alzheimer's disease biomarker related cognitive decline?
B. S. Ye, W. W. Lee, J. H. Ham, J. J. Lee, P. H. Lee and Y. H. Sohn
2016; Journal Eur J Neurol; vol. 23; no. 5; pp. 948-57; doi:10.1111/ene.12969

L2, p-norm and sample constraint based feature selection and classification for AD diagnosis
M. Zhang, Y. Yang, H. Zhang, F. Shen and D. Zhang
2016; Journal Neurocomputing; vol. 195; pp. 104-111; doi:10.1016/j.neucom.2015.08.111

Spatial Patterns of Longitudinal Gray Matter Change as Predictors of Concurrent Cognitive Decline in Amyloid Positive Healthy Subjects
M. A. Araque Caballero, S. Kloppel, M. Dichgans, M. Ewers and I. Alzheimer's Disease Neuroimaging
2016; Journal J Alzheimers Dis; vol. 55; no. 1; pp. 343-358; doi:10.3233/JAD-160327

Staging Alzheimer’s Disease Risk by Sequencing Brain Function and Structure, Cerebrospinal Fluid, and Cognition Biomarkers
G. Chen, H. Shu, G. Chen, D. B. Ward, P. G. Antuono, Z. Zhang and S. Li
2016; Journal Journal of Alzheimer's Disease; vol. 54; no. 3; pp. 983-993; doi:10.3233/JAD-160537

Standardized Uptake Value Ratio-Independent Evaluation of Brain Amyloidosis
A. Chincarini, F. Sensi, L. Rei, I. Bossert, S. Morbelli, U. P. Guerra, G. Frisoni, A. Padovani, F. Nobili and I. Alzheimer's Disease Neuroimaging
2016; Journal J Alzheimers Dis; vol. 54; no. 4; pp. 1437-1457; doi:10.3233/JAD-160232

Gradient nonlinearity calibration and correction for a compact, asymmetric magnetic resonance imaging gradient system
S. Tao, J. D. Trzasko, J. L. Gunter, P. T. Weavers, Y. Shu, J. Huston, S. K. Lee, E. T. Tan and M. A. Bernstein
PMCID:5257336 ; 2016; Journal Phys Med Biol; vol. 62; no. 2; pp. N18-N31; doi:10.1088/1361-6560/aa524f

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
Y. Deming, J. Xia, Y. Cai, J. Lord, J. L. Del-Aguila, M. V. Fernandez, D. Carrell, K. Black, J. Budde and S. M. Ma
2016; Journal Scientific reports; vol. 6; pp. 18092;

Mapping the “What” and “Where” Visual Cortices and Their Atrophyin Alzheimer’s Disease: Combined Activation Likelihood Estimation with Voxel-Based Morphometry
Y. Deng, L. Shi, Y. Lei, P. Liang, K. Li, W. C. W. Chu, D. Wang and A. s. D. N. Initiative
PMID: 27445770 ; PMCID:4925679 ; 2016; Journal Frontiers in Human Neuroscience; vol. 10; pp. 333; doi:10.3389/fnhum.2016.00333

Linear and Curvilinear Trajectories of Cortical Loss with Advancing Age and Disease Duration in Parkinson’s Disease
D. O. Claassen, D. G. Dobolyi, D. A. Isaacs, O. C. Roman, J. Herb, S. A. Wylie, J. S. Neimat, M. J. Donahue, P. Hedera, D. H. Zald, B. A. Landman, A. B. Bowman, B. M. Dawant and S. Rane
PMID: 27330836 ; PMCID:4898918 ; 2016; Journal Aging Dis; vol. 7; no. 3; pp. 220-9; doi:10.14336/AD.2015.1110

Effects of Change in FreeSurfer Version on Classification Accuracy of Patients With Alzheimer’s Disease and Mild Cognitive Impairment
J. L. Chepkoech, K. B. Walhovd, H. Grydeland, A. M. Fjell and I. Alzheimer's Disease Neuroimaging
PMID: 27018380 ; 2016; Journal Hum Brain Mapp; vol. 37; no. 5; pp. 1831-41; doi:10.1002/hbm.23139